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Integrity report for PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2605.21710 · pith:2026:QECQDRIJPP35DR4NN2QNTNU5UR

0Critical
0Advisory
5Detectors run
2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 09:32:41.714493+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 09:31:51.901655+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 04:43:41.754716+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 19:52:33.496024+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 03:33:37.539622+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/QECQDRIJ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.